13 datasets found

The dataset used in the paper for image-text retrieval.

Image-text retrieval (ITR) is a task to retrieve the relevant images/texts, given the query from another modality. The conventional dense retrieval paradigm relies on encoding...

The XmediaNet dataset is a large-scale image-text dataset for cross-modal retrieval.

The Pascal-Sentence dataset contains image-text pairs for cross-modal retrieval.

A method for combining dual and cross encoder architectures for image-text retrieval.

The dataset used in the paper "Scaling Laws of Synthetic Images for Model Training". The dataset is used for supervised image classification and zero-shot classification tasks.

The SBU Captions dataset is a large-scale image-text dataset used for vision-language pre-training.

The Visual Genome dataset is a large-scale visual question answering dataset, containing 1.5 million images, each with 15-30 annotated entities, attributes, and relationships.

The COCO-QA-OBJ dataset is used for object counting task. It consists of 123,287 images and 78,736 train and 38,948 test questions.

The COCO-QA-LOC dataset is used for location identification task. It consists of 123,287 images and 78,736 train and 38,948 test questions.

The COCO-QA-ID dataset is used for color identification task. It consists of 123,287 images and 78,736 train and 38,948 test questions.

The COCO-QA dataset is used for visual question answering task. It consists of 123,287 images and 78,736 train and 38,948 test questions.

Human Pose Estimation (HPE) aims to estimate the position of each joint point of the human body in a given image. HPE tasks support a wide range of downstream tasks such as...